Artificial Intelligence: Methodology, Systems, and by Jérôme Euzenat, John Domingue
By Jérôme Euzenat, John Domingue
This booklet constitutes the refereed court cases of the twelfth overseas convention on man made Intelligence: technique, platforms, and purposes, AIMSA 2006, held in Varna, Bulgaria in September 2006.
The 28 revised complete papers provided including the abstracts of two invited lectures have been rigorously reviewed and chosen from eighty one submissions. The papers are equipped in topical sections on brokers, constraints and optimization, consumer issues, selection help, types and ontologies, desktop studying, ontology manipulation, common language processing, and applications.
Read or Download Artificial Intelligence: Methodology, Systems, and Applications: 12th International Conference, AIMSA 2006, Varna, Bulgaria, September 12-15, 2006, Proceedings PDF
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Extra info for Artificial Intelligence: Methodology, Systems, and Applications: 12th International Conference, AIMSA 2006, Varna, Bulgaria, September 12-15, 2006, Proceedings
A possible-worlds semantics is used, and a model M is a triple W, V, R where W is a set of possible worlds, V is a truth assignment which associates each world w with the set Vw of atomic propositions true in w, and R is a tuple of structures made up of: – A : ACT → (W → 2W ) which associates each action α ∈ ACT and possible world w ∈ W with the set Aα (w) of possible worlds resulting from the execution of action α in w; – B : AGT → (W → 2W ) which associates each agent i ∈ AGT and possible world w ∈ W with the set Bi (w) of possible worlds compatible with the beliefs of agent i in w.
MIT Press, Cambridge, 1994. 25. W. Sandholm. Distributed rational decision making. In G. Wei, editor, Multiagent Systems: A Modern Approach to Distributed Artiﬁcial Intelligence, pages 201–258. MIT Press, Cambridge, 1999. 26. P. McBurney, S. Parsons, and M. Wooldridge. Desiderata for agent argumentation protocols. In Proc. AAMAS’02, pages 402–409, Bologna, 2002. fr Abstract. Nowadays, more and more artificial agents integrate emotional abilities, for different purposes: expressivity, adaptability, believability...
Def Expect i ϕ = Prob i ϕ ∧ ¬Bel i ϕ (DefExpect ) Desirable/Undesirable Operators. They represent preference in a wide sense. We here consider that an agent finds ϕ desirable, undesirable or ϕ leaves him indifferent. Due to the truth condition for Des i , the following principles are valid: ¬Des i ⊥ if ϕ ↔ ψ then Des i ϕ ↔ Des i ψ (REDes ) Des i ϕ → ¬Des i ¬ϕ ¬Des i (DDes ) ( Des i ) (⊥Desi ) Des i ϕ → GDes i ϕ (PersDesi ) ¬Des i ϕ → G¬Des i ϕ (Pers¬Desi ) Des i ϕ → ¬Undes i ϕ (RDU) (PersDes i ) and (Pers¬Desi ) illustrate that what is desirable is atemporal.